Salem City Research Articles

An investigation of relationships between aberrant driving behavior and crash risk among long-haul truck drivers traveling across India: A Structural Equation Modeling approach

IntroductionRoad Traffic Crashes (RTC) are showing an increasing trend around the world. Empirical evidence suggests that the majority of the crashes are attributed to unsafe or dangerous driving behaviors among drivers. However, little is known about the crash risk among professional drivers such as Long-Haul Truck Drivers (LHTDs) considering aberrant driving behaviors in developing countries like India. Objectives: This study aims to investigate the direct effects of characteristics of LHTDs including socio-demographic, work and vehicle, health-related lifestyle on crash risk. This study also attempts to investigate the indirect impacts of socio-demographic characteristics on crash involvement among LHTDs mediated through aberrant driving behaviors. MethodsUsing cross sectional study design, face-to-face interviews were conducted among LHTDs in Salem city, Tamil Nadu, India. A Driver Behavior Questionnaire (DBQ) consisting of 23 items was utilized to measure aberrant driving behaviors among LHTDs and information related to background variables was also collected. A total of 756 valid samples were used for analysis purpose. Exploratory factor analysis confirmed a four-factor solution including errors, lapses, ordinary, and aggressive violations and the identified structure was validated using confirmatory factor analysis. The deployment of Structural Equation Model (SEM) enabled identification of interrelationships among identified latent and observed variables. Results: The developed SEM model showed that all the identified four latent constructs were positively associated with crash involvement among LHTDs. The results further revealed that age and marital status were found to exhibit an indirect impact on crash involvement in addition to direct effects. ConclusionThe findings from this study could serve road safety authorities and Indian trucking industries to target risky driving behaviors in order to develop engineering and interventional countermeasures.

A non-linear and interaction effect analysis of various risk factors influencing mobile phone use while driving among long-haul truck drivers travelling across India

Mobile phone use while driving (MPWD) is one of the most critical behaviours contributing to distraction related fatalities and injuries. However, MPWD is not well understood among long-haul truck drivers (LHTDs) especially in developing countries like India. The present study aims to develop a prediction model for MPWD and attempts to identify the underlying factors and patterns affecting MPWD among LHTDs travelling across India. A total of 756 valid samples were collected utilising a questionnaire in Salem city, Tamil Nadu, India. Machine learning algorithms including Decision tree, Random Forest, Adaptive Boosting, and Extreme gradient boosting were employed to model MPWD. A split ratio of 70:30 was adopted for training and testing purposes. A 10-fold cross validation procedure was carried out during model development. The analysis results showed that XGBoost demonstrated superior performance than other models (accuracy = 0.82, F1 score =0.8, and AUROC = 0.82). In addition, SHapley Additive explanations (SHAP) were implemented to reveal the importance of predictors contributing to MPWD. The findings of the study showed that type of commodity, pressured delivery, calls received during driving, smoking habits, educational level, and continuous driving duration as major factors contributing to MPWD among LHTDs. SHAP values were also utilised to investigate hidden patterns and interaction effects for major factors affecting MPWD. Parcel and food items coupled with frequent pressured delivery and middle aged LHTDs driving continuously for 5–6 h are some of the interactive risk factors enhancing MPWD. These findings are useful for road safety authorities and truck companies to draft suitable policies and help to introduce effective interventions for reducing MPWD among LHTDs.

A Study on Digital Payments and User Experience

This paper aims to examine the use of online payment or electronic payment system (EPS) due to various benefits of using online payment method for both the business and the user. Digitalization is a new trend in banking sector all over the world. Digitalization involves total control over the customer experience, management of all existing and future consumer needs, and development of an appropriate financial framework. Digital payments in India are a promising success. The financial institution must be customer friendly. For the purpose of the study on digital payments and user experience primary method such as survey using Google form in collected from people in and around Salem city with different demography and secondary methods such as published and unpublished journal, magazines has been used. The data is analyzed by using SPSS. Keywords: Digital payments, Banking sector, Customer experience, Electronic payments.

Internet gaming disorder: The prevalence and associated gaming behavior, anxiety, and depression among 8-12-year-old children of private schools in Salem city, India.

The escalating concern over Internet gaming disorder (IGD) among children underscores the urgency of comprehending its determinants and links to mental health, particularly for interventions targeting school-aged children. This study aimed to evaluate the prevalence and determinants of IGD and its association with depression, anxiety, and behavior among 8-12-year-old children attending private schools in Salem city. A cross-sectional study involving 780 children aged 8-12 years from Salem district was conducted. Schools were randomly sampled, and data were collected through a self-administered questionnaire. Data were gathered from children without genetic, systemic, or mental disorders and brain trauma. The questionnaire, adapted from Alhamoud M A et al. (2022), encompassed sections on sociodemographic characteristics, gaming behavior, and scales for assessing IGD, depression, and anxiety. Administration occurred during school hours with a 30-35 min completion time. Data analysis utilized SPSS v23.0, including descriptive statistics, ANOVA, Chi-square tests for intergroup comparisons, and Pearson's correlation coefficient to determine associations. The prevalence of IGD in Salem district was 1.2%, with higher rates of anxiety and depression observed among older children, particularly males. A positive correlation was evident between IGD, anxiety, and depression. Urgent preventive measures have to be warranted to curb the rising trend of IGD, such as limiting screen time and promoting outdoor activities to enhance children's overall health.

Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and machine learning techniques

Speeding is one of the most common aberrant driving behaviors among the driving population. Although research on speeding behavior among drivers has been increased over the decades, little is known about the motivating factors associated with speeding behavior among Long-Haul Truck Drivers (LHTDs), especially in developing nations like India. This study aims to develop a prediction model for speeding behavior and to identify the contributory factors and their influential patterns underlying speeding behavior among LHTDs in India. A cross-sectional study was conducted among LHTDs in Salem city, Tamil Nadu, India. The data were collected through face-to-face interviews using a questionnaire encompassing socio-demographic, work, vehicle, health-related lifestyle, and speeding-related characteristics. A total of 756 valid samples were collected and utilized for analysis purposes. While conventional statistical method like binary logit technique lacked prediction capabilities, machine learning algorithms including Decision tree (DT), Random Forest (RF), Adaptive Boosting (AdaBoost), and Extreme gradient boosting (XGBoost) were employed to model speeding behavior among LHTDs. The analysis results showed that RF demonstrated superior performance in predicting speeding behavior over other competing algorithms with accuracy (0.80), F1 score (0.77), and AUROC (0.81). From the befitting RF model, the importance of factors contributing to speeding behavior among LHTDs were determined through the variable importance plot. Pressured delivery of goods, sleeping duration per day, age of truck, size of truck, monthly income, driving experience, driving duration per day, and age of the driver were identified as the eight topmost critical factors contributing to speeding behavior among LHTDs. Based on the developed RF model, the hidden relationships behind identified critical factors in relation to the speeding behavior were investigated using partial dependence plots (PDPs). The outcomes of this research will be useful for road safety authorities and Indian trucking industries to frame suitable policies and to introduce effective strategies for mitigating speeding behavior among LHTDs to promote road safety.

Traffic study using unmanned aerial vehicle & simulation of traffic flow at congested junctions of Salem City using hybrid approach

The number of road accidents in 2022 increased by 11.9% compared to 2021. Similarly, the number of deaths and injuries on account of road accidents also increased by 9.4% and 15.3% respectively. Road collision incidences in India are increasing at a rate of 5% faster than the world average. Since everyone moves about a lot in their everyday lives, transportation has become a part of everyone’s existence. All people, regardless of age, must travel to do their daily tasks, which causes roadways to get blocked. This research examines how urbanization and industry are causing traffic congestion in the current environment. In the Salem Corporation specified road network, 162 road links were chosen for the study and surveyed with unmanned aerial vehicles. By adopting this digital aerial survey, local authorities may overcome their challenges in estimating the varied road network required at any time from all aspects. Drone have been used to conduct extensive investigations of the condition of the Five Roads Junction, Kondalampatti, Seelanaikanpatti, Shewapett, Junction Main Roads in the Salem district. The intersections were selected because they see a higher volume of traffic, particularly during peak hours. The manual traffic study was conducted to determine the reasons for traffic congestion. Pedestrian laws, appropriate bus stops, signalized junctions, and other measures can all be used to manage traffic. Unlike conventional methods, traffic simulation software such as PTV VISSIM and Any-logic are being used in this research to minimize the identified problems since it may be the alternative approach. This research deals with the Salem district traffic issue at five complex intersections and offers some fundamental remedies.

Digital Perception on Changes Experienced in Modern Banking Services Perceptional Study in Salem City

The adoption of new technology to provide digital banking to enhance ease of use, transaction speed and an improved overall experience is essential for banking institutions to remain competitive both locally, and internationally. The digitalization of banking has revolutionized banking operations and practices. In India specifically, banking services have changed dramatically since the economic liberalization of 1991, but particularly over the last decade with rapid adoption of technology with the aim of improved operational and administrative efficiency. This study aims to evaluate the perception amongst customers and bankers in the Southern Indian city of Salem, on the changes experienced in banking services vis-a-vis adoption of technology and the issues faced in this regard its relationship to customer (and Banker) demographics.

Bioactive Ethnomedicinal Plant Extracts for the Management of Urinary Tract Infection in Pregnancy Women Challenges in Pandemic Period

Today urinary tract infection causing Escherichia coli is also serious problem among pregnant women especially during pandemic period. So the mid stream urine samples were collected from different clinics and Public Health Centre in from rural area of Salem city. Totally 25 E. coli was isolated from 25 mid stream urine samples and confirmed by biochemical test and growth parameters. In this study the optimum growth was recorded in pH 7 at 37ᵒC. To date the patterns of resistance to the antimicrobial agents may be due to indiscriminate, wide spread and lengthy use of antibiotics in the treatment of UTI particularly in pandemic situation 2022. So, the present research targeted to extract the therapeutic drug from the high medicinal value of ethano medicinal plant extract because it having anti-UTI compound to diagnose the UTI infection. In this research the antibacterial activity of Terminalia chebula, Allium sativum, Laurus nobilis, Hybamthus enneapermus, Cinnamomum tamala and Zingiber officinale was studied by agar well diffusion method. Four different concentrations (25μl, 50μl, 75μl and 100μl) were used against Escherichia coli. The maximum zone of inhibition were observed in plant extracts Terminalia chebula 11mm, 13mm, 16mm and 20mm in strain no. EC05 followed by minimum zone of inhibition was observed in the plant extract Hybamthus enneapermus 10mm in strain no. EC05 at 100μl concentration of crude plant extracts. The research proved the ethano medicinal plant extract to cleave the pathogenic cell wall of E. coli.
 Keywords: E. coli, Urinary tract infection, Pregnancy Women, Medicinal Plant Extracts

Soil test crop response based integrated plant nutrition system for hybrid castor on an Alfisol

Background: In the era of precision agriculture, application of fertilizer based on soil testing is an essential tool to prescribe nutrient doses for crops to improve nutrient use efficiency and yield of hybrid castor. Methods: Field experiment was conducted in 2021 at the Tapioca and Castor Research station, Yethapur, region near Salem city, Tamil Nadu, India (11035’N, 78029’E). By adopting inductive cum targeted yield model fertilizer prescription equation (FPEs) were developed for hybrid castor under irrigated condition for Alfisol soil order. Initially soil fertility gradient were established with respect to soil available N, P and K nutrients and twenty four treatment were imposed in three fertility strips under factorial randomized design. The basic parameters [nutrient requirement (NR) and nutrients contributions from soil (Cs), fertilizer (Cf) and farmyard manure (Co)] were calculated from the field experimental data. Result: The nutrient required for producing one quintal of hybrid castor seed yield was evaluated as 3.20 kg of nitrogen, 1.23 kg of phosphorus pentoxide (P2O5) and 3.28 kg of potassium oxide (K2O). The study revealed that soil nutrient contribution was high in case of available phosphorus (41.87%), available nitrogen (21.56%) and available potassium (19.12%) respectively toward P, N and K nutrient uptake by hybrid castor. The nutrient contribution from farmyard manure (Co) towards the total uptake was 21.40% of N, 10.35% of P2O5 and 26.06% of K2O respectively. Using basic data, FPEs were developed for hybrid castor and ready reckoner were developed for operational range of soil test values for desired yield target under NPK alone and IPNS (NPK and FYM).

Assessing cultural intelligence of adolescents in relation to their personality traits, communication style, value orientation and perceived parenting style

Nowadays youth are fascinated towards various job offerings that leads to increased global mobility in turn had high possibilities of cultural conflicts. Cultural intelligence is an essential aspect to uplift individual’s flexibility and stability across culture. Generally, individuals expressed their cultural intelligence through its psycho social determinants such as personality traits, communication styles, value orientation and perceived parenting styles which were theoretically interlinked as well as a sense of group belongingness initiated during adolescence. Therefore, an attempt is made here to explore the relationships between cultural intelligence, personality traits, communication styles, value orientation and perceived parenting styles among adolescents. Cluster sampling technique was used to select the participants. A survey was conducted with 480 adolescents in and around Salem city was collected. Results revealed that introvert/ambivert adolescents experiencing positive parenting, exhibit higher value orientation and communication were predicted to have higher cultural intelligence. This study would be helpful for teachers to understand adolescents’ individual differences and accordingly modify their teaching behaviour. Imparting cultural intelligence among adolescents would heighten the sense of group belongingness, that show drastic effects in future global economy.

Consumer Inclination to Purchase Personal Care Products in Salem City

The study's goal is to assess consumers' proclivity to buy personal care items in Salem. The data for the study was collected by using direct interview with the consumers who were purchasing personal care products via an interview schedule. The study collects data from 794 consumers in different parts of Salem City. The study was commenced with the motive to test demographic profile of consumers, factors influencing consumer inclination and satisfaction of consumers while purchasing personal care products. The data was appropriately collated and analyzed using basic frequencies and percentages, exploratory factors, weighted ranking, as well as multiple regression. The study confirmed that consumer inclination mainly relies on store ambience, product quality, product promotion, product price, interest to purchase, and external influences. Consumer satisfaction was mainly influenced by the package quality, variety of product, and quality offered by the personal care products. It is concluded that several factors determine consumer inclination to procure personal care products.

Cervical cancer knowledge and attitude among a cohort of female schoolteachers in Salem city - A cross-sectional survey.

A cross-sectional study was conducted among 256 Government female schoolteachers aged 22-60 years in Salem city, Tamil Nadu. A self-administered questionnaire which assessed the levels of knowledge (6 items) and attitude (4 items) regarding cervical cancer was employed and responses were recorded on a three-point Likert scale. Data were analysed using Statistical Package for Social Sciences (SPSS) software version 20.0. Overall adequate knowledge and good attitude regards to cervical cancer was observed among 60% and 66.8% of schoolteachers, respectively. Participants in the age range of 31-45 years (p = 0.007), primary schoolteachers (p = 0.004) and Hindus (p = 0.001) displayed significantly adequate levels of knowledge compared to their respective counterpart. Likewise, based on attitude subjects possessing postgraduation (p = 0.001) and middle schoolteachers (p = 0.009) had significant good attitude scores. Significant linear correlation was observed knowledge with class teacher (r = 0.136, P = 0.03) and religion (r = 0.208, P = 0.001) whereas attitude with qualification (r = 0.165, P = 0.008) and class teacher (r = 0.206, P = 0.001) which are positive predictors. Moreover, knowledge had a significant positive correlation with attitude (r = 1.000, P = 0.000). Primary care physicians partnering network with schoolteachers having adequate knowledge and good attitude acts as a workforce to support cervical cancer screening and human papillomavirus vaccination.

Commuter exposure to fine particulate matter in private road transport modes in Salem, India

Private vehicles are high dominant mode of transport in Salem, India, since there is no any commuter personal exposure information on air pollution. This is the first pollutant exposure study in different private vehicles across Salem city. In this study, critical air pollutant of fine particulate matter, PM2.5, was measured. In addition, accumulation of CO2, concentration also assessed in closed vehicles. The measured vehicles were motorcycle, auto rickshaw, hatchback car, sedan car, sports utility vehicle car, and multi utility vehicle van. The four-wheeler (car and van) in-vehicle concentrations were assessed under four different ventilation conditions. Student?s t-test statistical analysis was carried out to determine the significance exposure level between the vehicles. It is observed that there is no statistically significant difference (p ? 0.05) between the vehicles of motorcycle and sedan, motorcycle and multi utility vehicle van, and auto rickshaw and sports utility vehicle for PM2.5 pollutant. A regression analysis shows a strong negative correlation between PM2.5 and CO2 concentration in an air-conditioning cars.

A Study on the Behaviour of Investors and their Risk-Return Perception with Special Reference to Salem City

This project coins about The Indian investment market. Investment is actually an asset that's created to permit money to grow. The wealth created can be used for a variety of objectives such as situations. Investing would be different things to different people. While investing for a few people mean fixing money to realize a profit, for a few others it also can mean investing time or effort for a few future benefits like investing in one self’s skills or health. Investment helps to channel household savings to the corporate sector, which is utilized to develop the industrial and service sectors and their own use. Today, investors have several options of investment with different peculiarities matching their needs. The funds allocated by the investors to various investment avenues depend largely on the investment objectives perceived by them. Investment examination has become essential for any retail investor. The success of investments is totally dependent on the satisfaction of the investors during the post-investment period and investors’ confidence. The uncertainty of expected return may be a vital part of the investment option. The variations in returns from the expectations of the investors cause risk and therefore the subjective analysis of varied attributes helps for the avoidance of the danger. Theoretically, risk and return go hand in hand, i.e., the upper the danger, the more the return. However, the risk- return knowledge of the investors on different investments might be differing from each other. In this paper, an attempt is made to study the investors’ perception of risk-return of investment and to find the investor's investment pattern.

EFFECT OF AMELIORATION PROCESSES ON SALT AFFECTED SOIL PROPERTIES AND ITS PRODUCTIVITY OF WHEAT PLANT

A field experiment were carried out saline soil at the region of Demro Village, Sidi salem City, Kafr El Shiekh Governorate, Egypt, during two successive growing winter seasons of 2018/2019 and 2019/2020. Therefore this study was carried out to evaluate the effect of leaching technique. i.e. uncontinuous process and continuous process CLP under individual and combined gypsum application rates as a percent of soil gypsum requirements GR.i.e. 0, 50 and 100 % ( G1,G2 and G3, respectively) and tillage depth .i.e. without T1, 20 cm T2 and 50 cm T3. These treatments were arranged with in the experimental plots in split-split plot at randomized complete block design in three replicates. The effect of the studied treatments on soil salinity, bulk density and hydraulic conductivity as well as productivity on wheat (Triticum aestivum, Masr3) plants were studied. Increasing rate of added gypsum as well as increasing in tillage depth resulted in a significant decrease of both soil salinity and its bulk density while resulted in a significant increase of soil hydraulic conductivity. The high changes of the studied soil properties were observed with ULP technique. In addition straw and grains yields of wheat plants were increased significantly as a resulted of gypsum applications and increase of tillage depth, where the highest yields were found with the combined treatments of GR3 and T3 with ULP technique. The data of this study show the high efficiency of combined amelioration processes in improve properties of saline soil and its productivity of crops compared with the single process.

Monsoon impact on groundwater chemistry and geochemical processes in the shallow hard rock aquifer

Impact of monsoon recharge on groundwater chemistry and geochemical processes was evaluated using geochemical methods in the shallow hard-rock aquifer, southern India. Groundwater samples were collected from Salem city and its outskirts during pre-monsoon (PRM) and post-monsoon (PM) seasons and analysed for major and minor ions. Results suggest that during PRM, the average concentration of TDS, major ions and electrical conductivity (EC) in groundwater are higher than the PM season except for Na+ and HCO3–. The major water types also varied with seasons (PRM: NaCl > CaMgCl > CaHCO3; PM: CaHCO3 = NaHCO3 = NaCl). Pearson correlation analysis indicates that Cl− and SO42− show a strong positive correlation with EC, TDS, TH and major cations during PRM season whereas HCO3– and NO3– have a strong positive correlation with most of the ions during PM season. Before monsoon, the water chemistry is governed by the weathering of carbonate and silicate minerals, reverse ion exchange and evaporation processes, which resulted in high EC, TDS, TH and major ions in the groundwater. After the monsoon, the water chemistry is regulated by the mineral weathering, cation exchange and dilution processes. Geochemical modelling studies indicate that groundwater is saturated and oversaturated with carbonate minerals and undersaturated with sulphate and chloride minerals. During monsoon, the recharging water flushed the weathered layer and dissolved the soil CO2 in the vadose zone, which subsequently enhanced the concentration of Na+ and HCO3– in the aquifer. Further, the high concentrations of Cl−, SO42- and NO3– imply that the aquifer is polluted by surface contamination sources. After the monsoon, NO3– implies that monsoon recharge facilitated the pollutant movement from surface to the aquifer. Hence, a proper aquifer management plan is required to protect this aquifer and to provide clean and safe drinking water to the local community.

Effect of Foliar Application with Sitofex and Salicylic Acid on Tomato Growth, Yield and Chemical Attributes

Two open field experiments were conducted during summer seasons of 2016 and 2017, in a private farm at Sedi Salem city, Kafr El-Sheikh Governorate, Egypt to investigate the effect of foliar application with sitofex CPPU, salicylic acid and their combinations on tomato growth, yield and chemical attributes. The ''Super Strain B F1 hybrid'' tomato cultivar, plants were treated with four concentrations of the synthetic cytokinin sitofex (0.00, 0.04, 0.08, and 0.12 mM) and four concentrations of SA (0.00, 1.00, 2.00 and 3.00 mM) were foliar applied separately and in combinations. Control plants were sprayed with tap water. Tomato plants were sprayed with the allocated or assigned treatments twice during the growing seasons, the first one at 10 days after transplanting and the second application was 35 days after the first one. The obtained results declare, in general, that foliar application treatments of cytokinin as sitofex and salicylic acid (SA) alone or in combination to tomato plants gave, significantly, the highest average values of vegetative growth, yield and chemical attributes compare to untreated plants. The combination between 0.12 mM CPPU plus 3.00 mM SA might be considered as an optimal treatment for the production of high yield and good quality of tomato fruits under the environmental conditions of Kafr El-Sheikh Governorate and other similar regions.

Unsupervised ISODATA algorithm classification used in the landsat image for predicting the expansion of Salem urban, Tamil Nadu

Objectives: To study the land cover change Salem city as a case study of urban expansion in India covering the span of 35 years from 1990 to 2025. Method: Remote sensing methodology is adopted to study the geographical land use changes occurred during the study period (year 1990- 2025). Landsat images of TM and ETM+ of Salem city area are collected from the USGS Earth Explorer website. After image pre-processing, unsupervised image classification has been performed to classify the images into different land use categories. Seven land use classes have been identified as road, urban (Build up), vegetation, water bodies, fallow land, mines and barren land. Classification accuracy is also estimated using the field knowledge obtained from field surveys. Findings: The obtained accuracy is between 83 to 86% of all the classes. Change detection analysis shows the built-up area has been increased by 1.49 km2 , vegetation area has been decreased by 11.55km2 . Application: Information on Urban growth, land use and land cover change study is very useful to local Government and Urban Planners for the betterment of the future plans of sustainable development of the city. Keywords: Land use /Land cover; Urban Sprawl; Urbanization; Remote Sensing; Landsat data; Salem city

Customer E-Satisfaction Towards E-Retailing Services in Salem City

In a global era marketing environment have been startup with the smart ways to promote their product via internet. The fast growth and development of the internet has a very strong impact upon the worldwide marketing environment. In recent trends it has become one of the very most popular approaches for business and customer to perform trading over the internet. Though e- commerce has created new path to businesses as well as customers, it is all about the consumer attitude towards business to commerce (B2C) vis-a-vis the conventional shopping channel to persist. Moreover, the success of e-retailing depends on the customer satisfaction during their purchase. This study is taking place to identify the customer’s e-satisfaction level in e-retailing services. The result of this research study reports the customer e-satisfaction towards e-retailing services channels through constructs prescribed by the frameworks. Using constructs, a model was tested among the e-retailing customers and to find their satisfaction and preferences.

Work Life Balance among Women Police in Salem City, Tamil Nadu

A main societal norm is work. At times it may be challenging and it tries to prioritize over your welfare. The impact that work life balance has on many social harms has been increasing nowadays, some are reflected in certain forms like tardiness, lessening fertility rates, aged populations and declining supply of quality labour. Certainly, a work culture that demands round the clock, i.e. 24/7 availability becomes a very big victimization to the above said social issues. It is known that Police personnel’s service and its effects on the family is a complex phenomenon. The function of women police is vague and workplace pressure is viewed as an unsuccessful factor, but a predictable part of police work. Police stress is influenced by a various workplace troubles like ethnic and gender partiality and lack of authority, work-load activities. Issues like family size, children’s age, and uncertain working hours has caused dissatisfaction and are more expected to wield negative impacts in their family and in work, that has led to low level of satisfaction, and greater family-work conflict. This research study is an attempt to spot out the effects of work-life balance and to explore the main factors which cause work-family challenges among different categories of women personnel in police department. By using convenient sampling technique, a sample of 50 respondents was collected. Structured questionnaire were used to collect primary data from the Police women. The secondary data was collected from various existing sources like website and reports. For statistical analysis, researcher used SPSS and Statistical tools like (i.e.) percentage analysis, ANOVA, Chi-square. The inferences of this study reveal that the age of respondents and their family factors have significant effects in ensuring work-life balance. Hence, the results suggest that supportive working conditions, employee wellness programme, and timely promotion and transfer policies can ensure work – life balance among the respondents.